MCP server for automating C2 operations in AdaptixC2 using LLM agents.
AdaptixC2 MCP Server
✨ Overview
AdaptixC2 MCP Server enables LLM agents to interact with and automate operations with the AdaptixC2 framework via the MCP protocol.
It allows AI-driven red teaming, automation of post-exploitation tasks, and controlled tool execution within a C2 environment.

🚀 Installation and Setup
Python 3.10+ and the uv package manager (curl -LsSf https://astral.sh/uv/install.sh | sh) are required.
- Clone the repository:
git clone https://github.com/Faceless0x7/AdaptixC2-MCP-Server
cd AdaptixC2-MCP-Server
- Create an isolated virtual environment and install dependencies:
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
- Configure connection parameters: Copy the configuration template and edit it with your details (IP, port, C2 credentials, endpoint):
cp .env.example .env
🤖 Connecting to LLMs
Add the server startup parameters to your MCP client configuration.
Example: Gemini CLI
Create the configuration file:
mkdir -p .gemini
nano .gemini/settings.json
Example configuration for Gemini CLI:
{
"mcpServers": {
"adaptixc2": {
"command": "uv",
"args": [
"--directory",
"/home/kali/Desktop/AdaptixC2-MCP-Server",
"run",
"server.py"
]
}
}
}
🛡️ BOF Integration (Optional)
The server supports BOFs. To activate this functionality, additional setup steps are required on both the Teamserver and the MCP side.
1. Build and Install Extension-Kit
Clone and compile the modules from the official Extension-Kit repository:
git clone https://github.com/Adaptix-Framework/Extension-Kit
cd Extension-Kit
make
2. Configure profile.yaml in AdaptixC2
In the profile.yaml configuration file of your AdaptixC2 Teamserver, you must specify the path to the compiled file from the first step (it is important to use an absolute path):
axscripts:
- "/full/path/to/Extension-Kit/extension-kit.axs"
For more details about the main C2 server: AdaptixC2 Documentation
3. Restricting AI Access via bofs.yaml
To minimize risk and avoid excessive tool exposure, the server enforces a strict default-deny model for BOF modules.
Edit the bofs.yaml file in the root directory of AdaptixC2 MCP Server. You must explicitly list which commands the AI is allowed to leverage:
# Example: Granting access only to two required BOFs in AD
AD-BOF:
- dcsync single
- adwssearch
# Or allowing the entire category
ADCS-BOF: all
If a category is commented out or the config is left entirely commented out — no BOF tools will be loaded.
Built-in Tools (no BOF required)
- agent_info
- change_directory
- copy_file
- download_file
- execute_powershell
- execute_raw
- execute_shell
- get_downloaded_file
- get_uid
- get_working_directory
- jobs_kill
- jobs_list
- kill_agent
- kill_process
- list_agents
- list_credentials
- adaptix__list_directory
- list_disks
- list_downloads
- list_listeners
- list_processes
- list_targets
- list_task_history
- list_tunnels
- log_finding
- make_directory
- move_file
- port_forward
- adaptix__read_file
- remove_file
- reverse_port_forward
- run_process
- save_writeup
- set_agent_sleep
- start_socks4
- start_socks5
- stop_tunnel
- tag_agent
- view_session_notes
BOF-based Tools
- bof_adbof
- bof_adcsbof
- bof_credsbof
- bof_elevationbof
- bof_executionbof
- bof_injectionbof
- bof_kerbeusbof
- bof_lateralmovement
- bof_ldapbof
- bof_mssqlbof
- bof_postexbof
- bof_processbof
- bof_relayinformerbof
- bof_salbof
- bof_sarbof
⚠️ Disclaimer
This project is intended for authorized security testing and research purposes only.
Do not use this software on systems you do not own or have explicit permission to test.